Articles in Peer-reviewed Journals

[58] Chen, B.*, & Jin, Y. (2022). Spatial patterns and drivers for wildfire ignitions in California. Environmental Research Letters. DOI: 10.1088/1748-9326/ac60da
[57] Chen, B.*, & Song, Y. (2022). Changes of Urban Greenspace Coverage and Exposure in China. In Green Infrastructure in Chinese Cities (pp. 173-189). Springer, Singapore.
[56] Du, Z., Yu, L., Yang, J., Xu, Y., Chen, B., Peng, S., Zhang, T., Fu, H., Harris, N., & Gong, P. (2022) A global map of planting years of plantations. Scientific Data, 9(141).

[55] Gutierrez, A., Hantson, S., Langenbrunner, B., Chen, B., Jin, Y., Goulden, M., & Randerson, J. T. (2021). Wildfire response to changing daily temperature extremes in California’s Sierra Nevada. Science Advances, 7(47).
[54] Liu, X., Zheng, J., Yu, L., Hao, P., Chen, B., Xin, Q., Fu, H. & Gong, P. (2021). Annual dynamic dataset of global cropping intensity from 2001 to 2019. Scientific Data, 8, 283.
[53] Tu, Y., Chen, B., Lang, W., Chen, T., Li, M., Zhang, T., & Xu, B. (2021). Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble Learning. Remote Sensing, 13(21), 4241.
[52] Song, Y., Chen, B.*, Ho, H. C., Kwan, M. P., Liu, D., Wang, F., … & Song, Y. (2021). Observed inequality in urban greenspace exposure in China. Environment International, 156, 106778.
[51] Chen, B., Xu, B. & Gong, P. (2021). Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities. Big Earth Data. DOI: 10.1080/20964471.2021.1939243.
[50] Chen, B.*, Tu, Y., Song, Y., Theobald, D. M., Zhang, T., Ren, Z., Li, X., Yang, J., Wang, J., Wang, X., Bai, Y., Xu, B. & Gong, P. (2021). Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America. ISPRS Journal of Photogrammetry and Remote Sensing, 178, 203-218.
[49] Chen, B.*, Li, J., & Jin, Y. (2021). Deep learning for feature-level data fusion: Higher resolution reconstruction of historical Landsat archive. Remote Sensing, 13(2), 167.
[48] Chen, B.*, Jin, Y., Scaduto, E., Moritz, M., Goulden, M., & Randerson, J. T. (2021). Climate, fuel, and land use controls on the spatial pattern of wildfire in California’s Sierra Nevada. Journal of Geophysical Research: Biogeosciences. e2020JG005786.
[47] Li, X., Hu, T., Gong, P., Du, S., Chen, B., Li, X., & Dai, Q. (2021). Mapping essential urban land use categories in Beijing with a fast area of interest (AOI)-based method. Remote Sensing, 13(3), 477.
[46] Tu, Y., Chen, B., Yu, L., Xin, Q., Gong, P., & Xu, B. (2021). How does urban expansion interact with cropland loss? A comparable study of 14 Chinese cities from 1980 to 2015. Landscape Ecology. 1-21.
[45] Ren, Z., Li, R., Zhang, T., Chen, B., Wang, C., Li, M., … & Xu, B. (2021). Reduction of human mobility matters during early COVID-19 outbreaks: Evidence from India, Japan and China. International Journal of Environmental Research and Public Health, 18(6), 2826.

[44] Chen, B.*, Song, Y., Huang, B., & Xu, B. (2020). A novel method to extract urban human settlements by integrating remote sensing and mobile phone locations. Science of Remote Sensing. 100003.
[43] Scaduto, E., Chen, B., & Jin, Y. (2020). Satellite-based fire progression mapping: a comprehensive assessment for large fires in Northern California, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13, 5102-5114.
[42] Li, R.#, Chen, B.#, et al., (2020). Suppression of future waves of COVID-19: Global pandemic demands joint interventions. Proceedings of the National Academy of Sciences. 117(42), 26151-26157.
[41] Li, R., Pei, S., Chen, B.#, Song, Y., Zhang, T., Yang, W., & Shaman, J. (2020). Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2). Science. 368(6490), 489-493. (Highly Cited Paper in ESI)
[40] Tian, H. #, Liu, Y. #, Li, Y. #, Wu, C. H. #, Chen, B. #, Kraemer, M. U., … & Wang, B. (2020). An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science. 368(6491), 638-642. (Highly Cited Paper in ESI)
[39] Jiang, T., Chen, B., Nie, Z., Zhehao, R., Xu, B., & Tang, S. (2020). Estimation of hourly full-coverage PM2. 5 concentrations at 1-km resolution in China using a two-stage random forest model. Atmospheric Research, 105146.  (Highly Cited Paper in ESI)
[38] Chen, Z., Chen, D., Zhao, C., …, Chen, B., … & Li, R. (2020). Influence of meteorological conditions on PM2. 5 concentrations across China: A review of methodology and mechanism. Environment International, 139, 105558.  (Highly Cited Paper in ESI)
[37] Song, Y., Chen, B.*, & Kwan, M. P. (2020). How does urban expansion impact people’s exposure to green environments? A comparative study of 290 Chinese cities. Journal of Cleaner Production, 246, 119018.
[36] Theobald, D. M., Kennedy, C., Chen, B., Oakleaf, J., Baruch-Mordo, S., & Kiesecker, J. (2020). Earth transformed: detailed mapping of global human modification from 1990 to 2017. Earth System Science Data, 1-35.
[35] Tan, Z., Melack, J., Li, Y., Liu, X., Chen, B., & Zhang, Q. (2020). Estimation of water volume in ungauged, dynamic floodplain lakes. Environmental Research Letters, 15, 054021.
[34] Su, M., Guo, R., Chen, B., Hong, W., Wang, J., Feng, Y., & Xu, B. (2020). Sampling strategy for detailed urban land use classification: A systematic analysis in Shenzhen. Remote Sensing, 12, 1497.
[33] Tu, Y., Chen, B., Zhang, T., & Xu, B. (2020). Regional mapping of essential urban land use categories in China: a segmentation-based approach. Remote Sensing, 12, 1058.
[32] Jin, Y., Chen, B., Lampinen, B., & Brown, P. (2020). Advancing agricultural production with machine learning analytics: yield determinants for California’s almond orchards. Frontiers in Plant Science, 11, 290.
[31] Gong, P., Li, X., Wang, J., Bai, Y., Chen, B., Hu, T., … & Zhou, Y. (2020). Annual maps of global artificial impervious area (GAIA) between 1985 and 2018. Remote Sensing of Environment, 236, 111510. (Highly Cited Paper in ESI)
[30] Ren, Z., Liu, Y., Chen, B., & Xu, B. (2020). Where does nighttime light come from? Insights from source detection and error attribution. Remote Sensing, 12, 1922.
[29] Gong, P., Chen, B., Li, X., Liu, H., Wang, J., Bai, Y., … & Feng, Y. (2020). Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018. Science Bulletin. 65, 182-187.  (Highly Cited Paper in ESI)

[28] Zhou, Y., Huang, B., Wang, J., Chen, B., Kong, H., & Norford, L. (2019). Climate-conscious urban growth mitigates urban warming: evidence from Shenzhen, China. Environmental Science & Technology, 53(20), 11960-11968.
[27] Ma, J., Brühl, C., He, Q., Steil, B., Karydis, V. A., Klingmüller, K., Chen B... & Xu, X. (2019). Modelling the aerosol chemical composition of the tropopause over the Tibetan Plateau during the Asian summer monsoon. Atmos. Chem. Phys.
[26] Chen B., Jin Y. and Brown P. (2019). An enhanced bloom index for quantifying floral phenology using multi-scale remote sensing observations. ISPRS Journal of Photogrammetry and Remote Sensing. 15, 108-120.
[25] Song Y., Huang B., He Q., Chen B., Wei J. and Mahmood R. (2019). Dynamic assessment of PM2.5 exposure and health risk using remote sensing and geo-spatial big data. Environmental Pollution. 253, 288-296.
[24] Zhang Z., Jin Y., Chen B. and Brown P. (2019). Almond Yield Prediction at the Orchard Level with a Machine Learning Approach, Frontiers in Plant Science. 10, 809.
[23] Jiang T., Chen B., Chan, K.K.Y. and Xu B (2019). Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison. Remote Sensing. 11, 1011.
[22] Chen B., Jin Y. and Brown P. (2019). Automatic mapping of planting year for tree crops with Landsat satellite time series stacks. ISPRS Journal of Photogrammetry and Remote Sensing, 151, 176-188.
[21] Gong P., Liu H., Zhang M., Li C., Wang J., Huang H., Clinton N., Ji L., Li W., Bai Y., Chen B., Xu B., Zhu Z., Yuan C., Suen H., Guo J., Xu N., Li W., Zhao Y., Yang J., Yu C., Wang X., Fu H., Yu L., Dronova I., Hui F., Cheng X., Shi X., Xiao F., Liu Q. and  Song L. (2019). Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017, Science Bulletin.
[20] Chen B., Kennedy C. and Xu B. (2019). Effective moratoria on land acquisitions reduce tropical deforestation: Evidence from Indonesia. Environmental Research Letters. 14 (4): 044009.
[19] Chen Z., Chen D., Kwan M., Chen B., Cheng N., Gao B., Zhuang Y., Li R. and Xu B. (2019). The control of anthropogenic emissions contributed to 80 % of the decrease in PM2.5 concentrations in Beijing from 2013 to 2017, Atmos. Chem. Phys. DOI: 10.5194/acp-2018-1112.
[18] Chen Z., Chen D., Cheng N., Zhuang Y., Kwan M., Chen B., Zhao B., Yang L., Gao B., Li R. and Xu B. (2019). Evaluating the Recent 2+26 regional strategy for air quality improvement during two orange air pollution alerts in Beijing: variations of PM2.5 concentrations, source apportionment, and the relative contribution of local emission and regional transport. Atmos. Chem. Phys.. DOI: 10.5194/acp-2018-1085.

[17] Song Y., Cai J., Huang B. and Chen B. (2018). ​Dynamic assessments of population exposure to urban greenspace using multi-source big data. Science of the Total Environment. 634, 1315-1325.
[16] Chen B., Song Y., Kwan M., Huang B. and Xu B. (2018).  How do people in different places experience different levels of air pollution? Using worldwide Chinese as a lens. Environmental Pollution. 238, 874-883.
[15] Chen B., Song Y., Jiang T., Chen Z., Huang B. and Xu B. (2018). Real-time estimation of population exposure to PM2.5 using mobile- and station-based big data. International Journal of Environmental Research and Public Health. 15(4), 573.
[14] Chen B., Chen L., Huang B., Michishita R. and Xu B. (2018). Dynamic monitoring of the Poyang Lake Basin by integrating Landsat and MODIS observations. ISPRS Journal of Photogrammetry and Remote Sensing. 139, 75-87.

2017 and Earlier
[13] Lu M., Chen B., Liao X., Yue T., Yue H., Ren S., Li X., Nie Z. and Xu B. (2017).  Forest Types Classification based on Multi-source Data fusion. Remote Sensing. 9(11), 1153.
[12] Yu, P.; Li, Y.; Xu, B.; Wei, J.; Li, S.; Dong, J.; Qu, J.; Xu, J.; Huang, Z.Y.; Ma, C.; Yang, J.; Zhang, G.; Chen, B.; Huang, S.; Shi, C.; Gao, H.; Liu, F.; Tian, H.; Stenseth, N.C.; Xu, B.; Wang, J. (2017). Using satellite data for the characterization of local animal reservoir populations of Hantaan virus on the Weihe Plain, China. Remote Sensing. 9, 1076.
[11] Chen B., Nie Z., Chen Z. and Xu B. (2017). Quantitative estimation of 21st-century urban greenspace changes in Chinese populous cities. Science of the Total Environment. 609, 956-965.
[10] Chen B., Huang B. and Xu B. (2017). Multi-source remotely sensed data fusion for improving land cover classification. ISPRS Journal of Photogrammetry and Remote Sensing. 124, 27-39.
[9] Chen B., Chen L., Lu M. and Xu B. (2017). Wetland mapping by fusing fine spatial and hyperspectral resolution images. Ecological Modelling. 353, 95-106.
[8] Lu M., Hu L., Yue T., Chen Z., Chen B., Lu X. and Xu B. (2017). Penalized linear discriminant analysis on hyperspectral imagery for noise removal. IEEE Geoscience and Remote Sensing Letters. 14(3), 359-363.
[7] Chen B., Huang B. and Xu B. (2017). A hierarchical spatiotemporal fusion model using one image pair. International Journal of Digital Earth. 10(6), 639-655.
[6] Chen B., Huang B. Chen L. and Xu B. (2017). Spatially and temporally weighted regression: A novel method to produce continuous cloud-free Landsat imagery. IEEE Transactions on Geoscience and Remote Sensing. 55(1), 27-37.
[5] Chen B., Huang B. and Xu B. (2015). Fine land cover classification using daily synthetic Landsat-like images at 15-m spatial resolution. IEEE Geoscience and Remote Sensing Letters. 12(12):2359-2363. (Issue Front Cover Paper)
[4] Chen B. and Xu B. (2015).  A novel method for measuring landscape heterogeneity changes. IEEE Geoscience and Remote Sensing Letters.12 (3):567-571.
[3] Chen B., Huang B. and Xu B. (2015). Comparison of spatiotemporal fusion models: A review. Remote Sensing. 7 (2): 1798-1835.
[2] Chen B., Qian X., Huang L. and Tian Y. (2012). Analysis of the evolving green system pattern of four urban areas in Wuhan Based on wind rose diagram. Geomatics & Spatial Information Technology, 6, 71-74. (In Chinese)
[1] Qian X. and Chen B. (2012). Advances in indoor GIS research. GeoSpatial Information, 4, 73-75. (In Chinese)

Book Chapters
[2] Wu, J., Chen, B., Reynolds, G., Xie, J., Liang, S., O’Brien, M. J., & Hector, A. (2020). Monitoring tropical forest degradation and restoration with satellite remote sensing: A test using Sabah Biodiversity Experiment. Advances in Ecological Research, 62, 117-146. In: Dumbrell, A., Turner, E. & Fayle, T. Tropical Ecosystems in the 21st Century, Academic Press, 494 pages.
[1] Tu, Y., Chen, B., Yu, L., Xin, Q., Gong, P., & Xu, B. (2019). Urban-expansion driven farmland loss follows with the environmental kuznets curve hypothesis: Evidence from temporal analysis in Beijing, China. Geoinformatics in Sustainable Ecosystem and Society (pp. 394-412). Springer, Singapore.